A lossless compression algorithm combining data compression with cryptographic properties, achieving 50% compression ratio with basic data security. Built in C and Python.

A Django-based API Gateway service with rate limiting, monitoring, and logging capabilities.

Unofficial PyTorch implementation of the GCN architecture from Kipf & Welling's paper using Einops for efficient graph convolutions.

Reproducing Human Brain Neurogenesis with AI and Quantum Computing

An interactive JavaScript simulation of ant colonies using reinforcement learning (Q-learning), showcasing real-time foraging, pheromone trails, and emergent swarm intelligence.

Custom-built Proximal Policy Optimization (PPO) agent learns to master a 2D shooter game. Features from-scratch PPO implementation, Pygame-based environment, and OpenAI Gym integration. Showcases r…

This repository contains code for a Reddit stress detection application, utilizing machine learning models to predict whether a given text contains indications of stress. It also includes functiona…

Here's lies my datascience, ml and Ai projects, where I've buried more failed models than I have hopes for the future. Enter at your own risk.

Breeze: A user-friendly mobile app delivering real-time air quality details, key metrics, and global insights. Effortlessly manage cities, explore with search, and visualize data on an interactive …

Solving CAPTCHAs using Pytorch.

recommends taste.

Deploying a machine learning app, which predict loan approval, using streamlit (locally).

Implementation of Position weight matrix on a DnaA 9-mers.

progress

Deep Q-Learning Network in pytorch.

Authorship attribution in tweeting.

Using Deep Convolutional Generative Adversarial Networks to generate new spoken digits.

Generates random phone numbers.

This is a "Hello World" to Data Science.